Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering

Kesavan, Ramesh; Surendiran, B.; Krishnan, Saravanan; Mahalakshmi, G.S.

Apple Academic Press Inc.

10/2022

538

Mole

Inglês

9781774637616

15 a 20 dias

1040

Descrição não disponível.
Preface

1. Design of Medical Expert Systems Using Machine Learning Techniques
S. Anto, S. Siamala Devi, K. R. Jothi, and R. Lokeshkumar

2. FFrom Design Issues to Validation: Machine Learning in Biomedical Engineering
Christa I L Sharon and V. Suma

3. Biomedical Engineering and Informatics Using Artificial Intelligence
K. Padmavathi and A. S. Saranya

4. Hybrid Genetic Algorithms for Biomedical Applications
Srividya P. and Rajendran Sindhu

5. Healthcare Applications of the Biomedical AI System
S. Shyni Carmel Mary and S. Sasikala

6. Applications of Artificial Intelligence in Biomedical Engineering
Puja Sahay Prasad, Vinit Kumar Gunjan, Rashmi Pathak, and Saurabh Mukherjee

7. Biomedical Imaging Techniques Using AI Systems
A. Aafreen Nawresh and S. Sasikala

8. Analysis of Heart Disease Prediction Using Machine Learning Techniques
N. Hema Priya, N. Gopikarani, and S. Shymala Gowri

9. A Review on Patient Monitoring and Diagnosis Assistance by Artificial Intelligence Tools
Sindhu Rajendran, Meghamadhuri Vakil, Rhutu Kallur, Vidhya Shree, Praveen Kumar Gupta, and Lingaiya Hiremat

10. Semantic Annotation of Healthcare Data
M. Manonmani and Sarojini Balakrishanan

11. Drug Side Effect Frequency Mining over a Large Twitter Dataset using Apache Spark
Dennis Hsu, Melody Moh, Teng-Sheng Moh, and Diane Moh

12. Deep Learning in Brain Segmentation
Hao-Yu Yang

13. Security and Privacy Issues in Biomedical AI Systems and Potential Solutions
G. Niranjana and Deya Chatterjee

14. LiMoS-Live Patient Monitoring System
T. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, P. Sivananaintha Perumal, and J. Stalin

15. Real-Time Detection of Facial Expressions Using k-NN, SVM, Ensemble classifier and Convolution Neural Networks
A. Sharmila, B. Bhavya, and K. V. N. Kavitha, and P. Mahalakshmi

16. Analysis and Interpretation of Uterine Contraction Signals Using Artificial Intelligence
P. Mahalakshmi and S. Suja Priyadharsini

17. Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction Techniques
Subha Velappan, Manivanna Boopathi Arumugam, and Zafer Comert

18. Deployment of Supervised Machine Learning and Deep Learning Algorithms in Biomedical Text Classification
G. Kumaravelan and Bichitrananda Behera

19. Energy Efficient Optimum Cluster Head Estimation for Body Area Networks
P. Sundareswaran and R.S. Rajesh

20. Segmentation and Classification of Tumour Regions from Brain Magnetic Resonance Images by Neural Network-Based Technique
J. V. Bibal Benifa and G. Venifa Mini

21. A Hypothetical Study in Biomedical Based Artificial Intelligence Systems using Machine Language (ML) Rudiments
D. Renuka Devi and S. Sasikala

22. Neural Source Connectivity Estimation using particle filter and Granger causality methods
Santhosh Kumar Veeramalla and T. V. K. Hanumantha Rao

23. Exploration of Lymph Node-Negative Breast Cancers by Support Vector Machines, Naive Bayes, and Decision Trees: A Comparative Study
J. Satya Eswari and Pradeep Singh

Index
Support Vector Machine;Real-time patient monitoring system;UCI Ml Repository;Healthcare applications;Dataset;Hybrid genetic algorithm;Dl Algorithm;Internet of things;Ml Algorithm;Biomedical AI systems;AI System;Image Segmentation;Feature Selection;DBN;RF;EEG Signal;Cluster Heads;SVM Classifier;Biomedical Data;OBL;Elm;Deep Learning Models;NB Classifier;Lymph Node Negative Breast Cancer;GA;DNN;Machine Learning;Decision Tree Algorithm;Fa;CNN Model